Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAB240B05059AA3753AB82E2A2B5632F32D1D246CE97135243FD83ED0BDBDE5EC16481 |
|
CONTENT
ssdeep
|
768:/J4sRhJxZYe2CT6/HMhINXZvtTlYJaNkBBqPS:1RhJxZYe2CT6/sINXZvtTlYJaNc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6262cd89dc98c6c |
|
VISUAL
aHash
|
bfe7e3e7f7fff9c1 |
|
VISUAL
dHash
|
2a4c0c080c4c1122 |
|
VISUAL
wHash
|
87e7c3e7c3e6c080 |
|
VISUAL
colorHash
|
07000018002 |
|
VISUAL
cropResistant
|
2a4c0c080c4c1122 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 35 techniques to evade detection by security scanners and make reverse engineering more difficult.